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Maximilian Geisslinger
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2020 – today
- 2024
- [j5]Franziska Poszler
, Maximilian Geisslinger
Ethical Decision-Making for Self-Driving Vehicles: A Proposed Model & List of Value-Laden Terms that Warrant (Technical) Specification. Sci. Eng. Ethics 30(5): 47 (2024) - 2023
- [j4]Phillip Karle
MixNet: Physics Constrained Deep Neural Motion Prediction for Autonomous Racing. IEEE Access 11: 85914-85926 (2023) - [j3]Johannes Betz, Tobias Betz
TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge. J. Field Robotics 40(4): 783-809 (2023) - [j2]Maximilian Geisslinger
An ethical trajectory planning algorithm for autonomous vehicles. Nat. Mac. Intell. 5(2): 137-144 (2023) - [c4]Rainer Trauth
Learning and Adapting Behavior of Autonomous Vehicles through Inverse Reinforcement Learning. IV 2023: 1-8 - [i6]Phillip Karle, Tobias Betz, Marcin Bosk, Felix Fent, Nils Gehrke, Maximilian Geisslinger, Luis Gressenbuch, Philipp Hafemann, Sebastian Huber, Maximilian Hübner, Sebastian Huch, Gemb Kaljavesi, Tobias Kerbl, Dominik Kulmer, Tobias Mascetta, Sebastian Maierhofer, Florian Pfab, Filip Rezabek, Esteban Rivera, Simon Sagmeister, Leander Seidlitz, Florian Sauerbeck, Ilir Tahiraj, Rainer Trauth, Nico Uhlemann, Gerald Würsching, Baha Zarrouki, Matthias Althoff, Johannes Betz, Klaus Bengler, Georg Carle, Frank Diermeyer
EDGAR: An Autonomous Driving Research Platform - From Feature Development to Real-World Application. CoRR abs/2309.15492 (2023) - 2022
- [j1]Phillip Karle
Scenario Understanding and Motion Prediction for Autonomous Vehicles - Review and Comparison. IEEE Trans. Intell. Transp. Syst. 23(10): 16962-16982 (2022) - [i5]Alexander Wischnewski, Maximilian Geisslinger, Johannes Betz, Tobias Betz, Felix Fent, Alexander Heilmeier, Leonhard Hermansdorfer, Thomas Herrmann, Sebastian Huch, Phillip Karle, Felix Nobis, Levent Ögretmen, Matthias Rowold, Florian Sauerbeck, Tim Stahl, Rainer Trauth, Markus Lienkamp, Boris Lohmann:
Indy Autonomous Challenge - Autonomous Race Cars at the Handling Limits. CoRR abs/2202.03807 (2022) - [i4]Johannes Betz, Tobias Betz, Felix Fent, Maximilian Geisslinger, Alexander Heilmeier, Leonhard Hermansdorfer, Thomas Herrmann, Sebastian Huch, Phillip Karle, Markus Lienkamp, Boris Lohmann, Felix Nobis, Levent Ögretmen
TUM Autonomous Motorsport: An Autonomous Racing Software for the Indy Autonomous Challenge. CoRR abs/2205.15979 (2022) - [i3]Phillip Karle, Ferenc Török, Maximilian Geisslinger, Markus Lienkamp:
MixNet: Structured Deep Neural Motion Prediction for Autonomous Racing. CoRR abs/2208.01862 (2022) - [i2]Maximilian Geisslinger, Franziska Poszler, Markus Lienkamp:
An Ethical Trajectory Planning Algorithm for Autonomous Vehicles. CoRR abs/2212.08577 (2022) - 2021
- [c3]Maximilian Geisslinger
Watch-and-Learn-Net: Self-supervised Online Learning for Probabilistic Vehicle Trajectory Prediction. SMC 2021: 869-875 - 2020
- [i1]Felix Nobis, Maximilian Geisslinger, Markus Weber, Johannes Betz, Markus Lienkamp:
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection. CoRR abs/2005.07431 (2020)
2010 – 2019
- 2019
- [c2]Alexander Heilmeier
A Quasi-Steady-State Lap Time Simulation for Electrified Race Cars. EVER 2019: 1-10 - [c1]Felix Nobis, Maximilian Geisslinger
A Deep Learning-based Radar and Camera Sensor Fusion Architecture for Object Detection. SDF 2019: 1-7
Coauthor Index
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